A new blind deconvolution algorithm for simo channel based on neural network

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 3602-3606

  He, Zhao Shui ^a   Xie, Sheng Li ^a   Fu, Yu Li ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Deconvolution; Neural network; SIMO; Tracking

Indexed keywords

NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL PROCESSING;

DECONVOLUTION; SIMO; TRACKING;

ALGORITHMS;

EID: 28444455637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Tan Lili, Wei Gang, Multi-input multi-output (MIMO) blind deconvolution via maximum entropy(ME) method, Acta electronica sinica, vol. 28(1), 114-116, Jan. 2000. (in Chinese)
2. D. Yellin, E. Weinstein, Criteria for multichannel signal separation, IEEE Trans. Signal processing, vol. 42(8), 2158-2168, 1994.
3. Thi H.N., Jutten C., Blind source separation for convolutive mixtures, Signal processing, 45(2): 209-229, 1995.
4. Liu Ju, He Zhenya, A survey of blind source separation and blind deconvolution, Acta electronica sinica, 30(2), 570-576, 2002. (in Chinese)
5. Tokkola K., Blind separation of delayed sources based on information maximization, in Proc of ICASSP, Atlanta: ICASSP, 3509-3512, 1996.
6. Adriana Dapena, Luis Castedo, A novel frequency domain approach for separating convolutive mixtures of temporally-white signals, Digital Signal Processing, 13, 301-316, 2003.
7. S. Choi, A. Cichocki, and S. Amari, "Two spatiotemporal decorrelation learning algorithms and their application to multichannel blind deconvolution", Proc. Int. Conf. Acoust., Speech, and Signal Processing, 1085-1088, 1999.
8. T. W. Lee, A. J. Bell, and R. Lambert, "Blind separation of delayed and convolved sources," in Advances in Neural Information Processing Systems9. Cambridge, MA: MIT Press, 1997, 758-764.
9. Luengo D., Santamaria, I., Ibanez, J., Vielva, L.; Pantaleon, C.; A fast blind SIMO channel identification algorithm for sparse sources, Signal Processing Letters, IEEE, 10(5), May 2003 pp.148 -151
10. Zhang Zhi-Yong, Wang Jun, A new approach to blind identification of SIMO channels with common zeros, Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on,Volume: 2, 15-19 June 2004 Pages: 1593 - 1596 Vol.2
11. Huang, Y., Benesty, J., Chen, J., Optimal Step Size of the Adaptive Multichannel LMS Algorithm for Blind SIMO Identification, Signal Processing Letters, IEEE, 12(3), March 2005 pp. 173-176
12. L. Parra and C. Spence, Convolutive blind separation of nonstationary sources, IEEE Trans. Speech Audio Processing, vol.8, 320-327, 2000.
13. Z. He, S. Xie, Y. Fu, A New Frequency Domain Algorithm For Blind Deconvolution, had been submitted to IEEE Trans. Communication.